Triple
T31240789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Mountain Thyme |
E796553
|
entity |
| Predicate | characterPlayedByJamieDornan |
P196704
|
FINISHED |
| Object | Anthony Reilly |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Anthony Reilly | Statement: [Wild Mountain Thyme, characterPlayedByJamieDornan, Anthony Reilly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedByJamieDornan Context triple: [Wild Mountain Thyme, characterPlayedByJamieDornan, Anthony Reilly]
-
A.
characterPlayedByJasonStatham
Indicates that the subject is a character portrayed by the actor Jason Statham.
-
B.
characterPlayedByRichardHarris
Indicates that the subject is a character that was portrayed by the actor Richard Harris.
-
C.
characterPlayedByIainGlen
Indicates that the subject is a character portrayed or voiced by the actor Iain Glen.
-
D.
roleOfLancelotPlayedBy
Indicates that a person is the actor who portrays the character Lancelot in a performance or production.
-
E.
playedBy
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
| PDg | Predicate description generation | batch_69fe629a8d4c8190b4aa4dee39efc0a6 |
completed | May 8, 2026, 10:24 p.m. |
Created at: April 29, 2026, 9:11 p.m.